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Call For Papers

The ICDNNOT is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Computational Science,Data Science, the conference promotes research aligned with global development goals and long-term sustainability.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Optimization techniques for neural networks
02
Deep learning architectures for data analysis
03
Applications of neural networks in industry
04
Challenges in training deep neural networks
05
Transfer learning in deep learning models
06
Ethics of AI and neural networks
07
Real-world applications of optimization techniques
08
Visualization of neural network performance
09
Data-driven approaches in optimization research
10
Case studies of neural network applications
11
Future trends in deep learning optimization
12
Collaborative tools for neural network research
13
Impact of AI on optimization problems
14
Deep learning for image processing tasks
15
Neural networks in predictive modeling
16
Role of AI in decision-making processes
17
Data preprocessing for neural networks
18
Interdisciplinary approaches to optimization
19
Deep learning for time series analysis
20
Neural networks in healthcare applications

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Start Your Research Journey Here Get Started with Registration